Vision Navigation Performance for Autonomous Orbital Rendezvous and Docking

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dc.contributor.advisorSpanos, Pol D.
dc.contributor.committeeMemberMeade, Andrew J
dc.contributor.committeeMemberPadgett, Jamie E
dc.contributor.committeeMemberWoffinden, David C
dc.creatorDahlin, Eric J
dc.date.accessioned2016-01-07T17:29:15Z
dc.date.available2016-01-07T17:29:15Z
dc.date.created2015-05
dc.date.issued2015-04-23
dc.date.submittedMay 2015
dc.date.updated2016-01-07T17:29:15Z
dc.description.abstractThis thesis demonstrates the potential of performing orbital rendezvous and docking using vision navigation. The vision navigation algorithm tracks both known and unknown target features to determine the relative position and attitude between a chaser and target spacecraft. By processing imagery generated from an optical sensor, various target features can be tracked to accurately determine the relative motion between two orbiting vehicles. This research adopts an architecture that uses an extended Kalman filter (EKF) to processes angle measurements to various target features as extracted from the vision navigation algorithm. One potential limitation to this approach is determining the image scale or range. A Monte Carlo simulation evaluates the performance of the navigation filter in a closed-loop guidance, navigation, and control (GNC) system. This research introduces strategies to overcome the resulting range dilemma and characterizes the performance of using vision navigation for autonomous orbital rendezvous and docking.
dc.format.mimetypeapplication/pdf
dc.identifier.citationDahlin, Eric J. "Vision Navigation Performance for Autonomous Orbital Rendezvous and Docking." (2015) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/87762">https://hdl.handle.net/1911/87762</a>.
dc.identifier.urihttps://hdl.handle.net/1911/87762
dc.language.isoeng
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.
dc.subjectVision Navigation
dc.subjectExtended Kalman Filter
dc.subjectOrbital Rendezvous
dc.subjectSpace Navigation
dc.subjectDigital Image Processing
dc.subjectMonte Carlo
dc.subjectAngles-Only Navigation
dc.titleVision Navigation Performance for Autonomous Orbital Rendezvous and Docking
dc.typeThesis
dc.type.materialText
thesis.degree.departmentMechanical Engineering
thesis.degree.disciplineEngineering
thesis.degree.grantorRice University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science
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